wiki:waue/2009/0505

Version 10 (modified by waue, 15 years ago) (diff)

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CloudBase

CloudBase 簡介

  • cloudbase 為運用在hadoop的database,可以輕易的使用sql語法進行hadoop資料的分析。
  • 每次進行sql的查詢時,hadoop就會進行mapreduce來解析,最後在呈現出結果。
  • 與hbase的不同為,hbase必須在mapreduce的程式碼中加入把結果塞入hbase的程式碼;而cloudbase卻不用,只要將結果放在hdfs://user/$USER/cloudbase/data/$TABLE_Name/$TABLE_Name, 如:/user/waue/cloudbase/data/test_table1/test_table1 ,並且內容格式如下,即為cloudbase的資料檔
    ipod|50|20.57|www.google.com
    ipod|10|10.25|www.google.com
    ipod|15|11.65|www.yahoo.com
    ipod|-20|-33.67|www.msn.com
    ipod|85|36.57|www.google.com
    zune|5|15.7|www.google.com
    zune|3|12.1|www.msn.com
    zune|10|6.5|www.msn.com
    iriver|30|15.5|www.yahoo.com
    iriver|45|12.3|www.yahoo.com
    iriver|25|16.7|www.yahoo.com
    iriver|15|15.3|www.yahoo.com
    iriver|20|18.0|www.yahoo.com
    iriver|16|20|www.google.com
    
  • CloudBase 提供了四種方法來讓使用者query資料 (http://cloudbase.sourceforge.net/index.html#userDoc
    1. python (執行cloudbase提供的python的程式)
    2. java (用JDBC )
    3. cli (JiSQL )
    4. squirrel (圖形介面程式)
  • 舉例來說,在squirrel執行 "select * from test_table1" 就出現如下結果

安裝步驟

step 0: 準備相關軟件:

下載hadoop-0.18.3.tar.gz

http://www.apache.org/dist/hadoop/core/hadoop-0.18.3/hadoop-0.18.3.tar.gz

下載cloudbase最新版(目前使用 cloudbase 1.3)

http://sourceforge.net/projects/cloudbase

http://downloads.sourceforge.net/cloudbase/cloudbase-1.3.tar.gz?use_mirror=jaist

step 1 : 安裝設定hadoop

  • 請參考之前的hadoop安裝教學 或 nutch 的安裝教學
  • 執行到start-all.sh ,亦即啟動hadoop環境並執行中...
    • 確認服務正常:
$ jps
24376 NameNode
24471 DataNode
24579 SecondaryNameNode
24882 JobShell
24665 JobTracker
24769 TaskTracker
28090 Jps

step 2 : 啟動CloudBase

  • 安裝cloudbase
    $ cd /opt/
    $ tar xvzf cloudbase-1.3.tar.gz
    $ ln -sf /opt/cloudbase-1.3 /opt/cloudbase
    
  • 修改 cloudbase-env
    $ vim /opt/cloudbase/bin/cloudbase-env
    
    • 內容為:
      # Set the hadoop home dir
      HADOOP_HOME=/home/hadoop/hadoop
      export HADOOP_HOME
      
  • 啟動 cloudbase
    $ cd /opt/cloudbase/bin/
    $ ./start-cloudbase &
    
  • 記得執行$cloudbase/test/bin/setup 以建立測試的資料表(此步驟連官網都沒有,但最後一直沒有test_table出現,找了很久才找到要執行此步)

step 3 : 用SQuirreL SQL 檢視

  • 執行點擊兩下下載下來的 squirrel-sql-3.0-install.jar即可安裝,下一步即可
  • 執行squirrel ,跑出主程式頁面,並執行以下操作
  • Drivers -> New Driver ->
name CloudBase JDBC Driver
example url jdbc:cloudbase://localhost:4444
class name com.business.cloudbase.CBDriver
ultra class path /opt/cloudbase/build/jar/cloudbasejdbc-1.3.jar

-> ok

  • Aliases ->

user test
password test

-> connect

  • SQL -> select * FROM test_table1 -> 點小黑人在跑的圖示 -> 就有結果出現囉!

}}}

  • enjoy
  • 當執行sql語法時,可以到localhost:50030觀查到,hadoop被呼叫來執行mapreduce的工作。而cloudbase的console端也能看到完整的log如下
    GOT SQL: select t1.c1, t1.c2, t1.c3, t1.c4, t2.c1, t2.c2, t2.c3, t2.c4 from test_table4 t1 inner join test_table5 t2 on t1.c1 = t2.c1 order by 1,2,3,4,5,6,7,8
    09/05/05 14:12:07 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same.
    09/05/05 14:12:07 INFO mapred.FileInputFormat: Total input paths to process : 1
    09/05/05 14:12:07 INFO mapred.FileInputFormat: Total input paths to process : 1
    09/05/05 14:12:07 INFO mapred.JobClient: Running job: job_200905010939_0030
    09/05/05 14:12:08 INFO mapred.JobClient:  map 0% reduce 0%
    09/05/05 14:12:12 INFO mapred.JobClient:  map 100% reduce 0%
    09/05/05 14:12:17 INFO mapred.JobClient: Job complete: job_200905010939_0030
    09/05/05 14:12:17 INFO mapred.JobClient: Counters: 16
    09/05/05 14:12:17 INFO mapred.JobClient:   File Systems
    09/05/05 14:12:17 INFO mapred.JobClient:     HDFS bytes read=207
    09/05/05 14:12:17 INFO mapred.JobClient:     HDFS bytes written=461
    09/05/05 14:12:17 INFO mapred.JobClient:     Local bytes read=159
    09/05/05 14:12:17 INFO mapred.JobClient:     Local bytes written=404
    ~~~~ 略 ~~~~~
    09/05/05 14:14:21 INFO mapred.JobClient:   Job Counters 
    09/05/05 14:14:21 INFO mapred.JobClient:     Launched map tasks=2
    09/05/05 14:14:21 INFO mapred.JobClient:     Data-local map tasks=2
    09/05/05 14:14:21 INFO mapred.JobClient:   Map-Reduce Framework
    09/05/05 14:14:21 INFO mapred.JobClient:     Map input records=7
    09/05/05 14:14:21 INFO mapred.JobClient:     Map input bytes=201
    09/05/05 14:14:21 INFO mapred.JobClient:     Map output records=7
    

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